Factor Risk Parity with Portfolio Weight Constraints

Marco Erling, Steffen Möllenhoff
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引用次数: 1

Abstract

Handling risk factors in the context of a multi-asset risk parity portfolio allocation has created increased interest in recent literature. When allocating along risk factors through principal components, one major problem that persists is the potential existence of leverage or short positions for the optimal portfolio. It is possible, however, to avoid these positions if investors accept equal risk contributions for the first few risk factors, which explain most of the portfolio variation, and allow residual risk contributions to "float". Convex polytopes describe the entire set of solutions if the restrictions hold. A model to handle these kind of factor risk parity allocations with portfolio weight constraints is the subject of this paper. Focusing on equality in the first two risk contributions and requiring a sufficiently high explanation level for them is the main challenge. Different numerical allocation strategies for backtesting and performing the empirical analysis along two multi-asset data sets with different period lengths and a different number of assets are used.
投资组合权重约束下的因素风险平价
在多资产风险平价投资组合配置的背景下处理风险因素在最近的文献中引起了越来越多的兴趣。当通过主成分分配风险因素时,一个持续存在的主要问题是最优投资组合的杠杆或空头头寸的潜在存在。然而,如果投资者接受前几个风险因素的同等风险贡献,并允许剩余风险贡献“浮动”,就有可能避免这些头寸。这几个风险因素解释了投资组合的大部分变化。如果约束条件成立,凸多面体描述了整个解集。本文的研究对象是一个具有投资组合权重约束的风险均等分配模型。主要的挑战是关注前两种风险贡献的平等性,并要求对它们进行足够高的解释。采用不同的数值配置策略对两个不同周期长度和不同资产数量的多资产数据集进行回测和实证分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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